This group focuses on the mathematical foundations of probability and statistical inference. Their research focuses on uncertainty, asymptotic behavior, and the structure of complex systems, with applications ranging from biology to economics and physics.
Themes:
- Probability theory and Markov processes
- Large sample theory and limit theorems
- Nonparametric Bayes
- Mathematical models in physics and biology
Members
- Rabindra Bhattacharya - Markov processes; Large sample theory; Statistical shape analysis; Economic theory of growth under uncertainty.
- Sunder Sethuraman - Bayesian stick-breaking and applications. Models in statistical physics.
- Joseph Watkins - Limit theorems; Statistical applications in the life sciences.